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A new image sharpening approach for single‐sensor digital cameras
Author(s) -
Lukac Rastislav,
Plataniotis Konstantinos N.
Publication year - 2007
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20111
Subject(s) - sharpening , artificial intelligence , computer vision , bayer filter , computer science , demosaicing , pipeline (software) , color filter array , image (mathematics) , image processing , filter (signal processing) , digital image , digital imaging , image sensor , color image , computer graphics (images) , color gel , materials science , layer (electronics) , composite material , programming language , thin film transistor
This article introduces a new image sharpening approach suitable for single‐sensor digital cameras equipped with a Bayer color filter array (CFA). The proposed solution firstly enhances the structural content of the captured CFA image data. Subsequent demosaicking of the enhanced CFA image data produces a visually pleasing full‐color image which is noticeably sharper compared to the output of the traditional imaging pipeline. Results reported in this work suggest a three‐fold processing cost reduction when the new approach is followed. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 123–131, 2007
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